Your exit multiple is a tech story.
PE money is in the maintenance and installation market — and the buyers paying premium multiples expect an AI and tech story to back the numbers. We help owners get both ready in the 18–36 months before they go to market.
A worked example — on a £3M EBITDA business.
To show the maths transparently: a £3M EBITDA business at typical mid-market multiples for tech-enabled service operators. Your CF adviser will sharpen the numbers against your sector and your process — but the shape is the point.
Spending £100k–£200k on the right AI work in the run-up to sale is rarely the question. The question is which workstreams move the multiple, and whether you have time to put proof points on the board.
Today (no tech story)
£3M EBITDA × 5× multiple
£0M enterprise value
+ EBITDA lift from AI workstreams
£3.4M EBITDA × 5× multiple
£0M enterprise value
+ Multiple expansion (6× tech-enabled)
£3.4M EBITDA × 6× multiple
£0M enterprise value
Net uplift: £0M on a programme that typically costs £100k–£250k.
What we actually move on the deal.
EBITDA expansion before the sale
AI-driven scheduling, quoting and admin automation lift margin in the 12–18 months buyers will diligence. Higher EBITDA at the same multiple is the cleanest value lever you can pull.
Multiple expansion at exit
Tech-enabled, AI-augmented service businesses transact at meaningfully higher multiples than spreadsheet-and-WhatsApp operators. The same EBITDA is worth more if the platform underneath it is investable.
A diligence-ready tech story
We document the stack, the data, the AI workflows and the IP ownership so the data room answers the buyer's tech and operations questions before they ask.
Proof points buyers can verify
Live software, real usage data, named operational gains. We build the evidence trail PE and trade buyers want — not slides about an AI strategy you haven't started.
How we work alongside you and your CF adviser.
01
Exit-readiness AI Audit (4–6 weeks)
We walk the floor, look at the numbers a buyer will look at, and identify the AI workstreams that move EBITDA and the multiple in the window you have. Board-ready output, designed to be shown to a corporate finance adviser.
02
Build the proof (3–9 months)
We deliver the priority workstreams. Working software, in production, with measured before-and-after numbers. The kind of evidence a buyer's operating partner can sit down with for an afternoon.
03
Diligence support (on demand)
When the process starts, we sit alongside your CF adviser. Tech and AI sections of the IM, the data-room contents, the management presentation, and the buyer Q&A — handled.
When you should be talking to us.
36 months out
Time to lift EBITDA, build proof points, and shape the platform story. The work pays for itself before exit.
18–24 months out
Still very actionable. Focus on the highest-leverage AI workstreams and the diligence story. Multiple expansion still on the table.
<12 months out
We can still help shape the tech narrative and shore up the data room — but the EBITDA-lift window is closing. Talk to us either way.
The artefacts a buyer will actually look at.
Documented tech stack and AI workflows
IP ownership and data licensing — clean and yours
Before-and-after operational metrics, on real jobs
Live software, in production, that buyers can demo
Roadmap for the next 24 months under new ownership
Independent tech and AI summary report from Creative Cloud
One conversation — before you go to market.
30 minutes with us, before you brief a CF adviser. We'll tell you honestly what AI can move on your numbers in the window you have, and what it would cost. Conversational. No NDA needed at this stage.
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